Bei Yang

4.1k citations
83 papers · 2.9k · 2 hit papers · h-index 28

Impact in

Papers in

    • CRISPR and Genetic Engineering 21
    • RNA and protein synthesis mechanisms 9
    • Advanced biosensing and bioanalysis techniques 8
    • RNA Interference and Gene Delivery 5
    • Drug Transport and Resistance Mechanisms 5

Bei Yang

81 papers receiving 2.9k citations

Bei Yang's Hit Papers

A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike 2019 · 388 citations
3880+2+5Years since publication100200300

Peers

Bei Yang
Comparison fields: 5 of 118
  • Business and International Management 123
  • Molecular Biology 2.0k
  • Aging 49
  • Infectious Diseases 402
  • Genetics 374
Replace Tao Du with:
Tao Du China
Liam O’Connor Australia
John W. Phillips United States
Jing Guo China
Wenjun Zhou China
Yuan Tian China
Daniel B. Goodman United States
Wataru Fujii Japan
Shuo Liu China
Ziyang Zhong United States
Bei Yang relative to Tao Du China Tao Du's profile →
Citations per field
00.5×6.1×
Tao Du · 1×
Citations per year

Countries citing papers authored by Bei Yang

Since Specialization
Citations

This map shows the geographic impact of Bei Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Yang more than expected).

Fields of papers citing papers by Bei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bei Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bei Yang. The network helps show where Bei Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Bei Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bei Yang Line = papers co-authored together Bei Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike
Hit paper breakdown →
2019388
2
Base editing with a Cpf1–cytidine deaminase fusion
Hit paper breakdown →
2018333
3 2018200
4 2022115
5 2019109
6 2007105
7 201097
8 201585
9 202082
10 202174
11 201170
12 199860
13 199859
14 200058
15 200957
16 201753
17 201253
18 201952
19 202250
20 202146

About Bei Yang

Bei Yang is a scholar working on Molecular Biology, Oncology, Epidemiology, Genetics and Infectious Diseases, having authored 83 papers that have together received 2.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (21 papers), RNA and protein synthesis mechanisms (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), RNA Interference and Gene Delivery (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Drug Transport and Resistance Mechanisms (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Business and International Management (123 citations), Molecular Biology (2.0k citations), Aging (49 citations), Infectious Diseases (402 citations) and Genetics (374 citations). Bei Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jia Chen, Li Yang, Jia Wei, Ying Wang, Xingxu Huang, Jing Wu, Xiaosa Li, David E. Smith, Michael J. Bouchard and Jianping Ding. Their work appears in journals such as Nature Biotechnology, Nature Communications, Nature, Nature Structural & Molecular Biology and Drug Metabolism and Disposition.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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